带加性时变时滞的不确定神经网络鲁棒散耗性研究.

Aim at the problem of the delay dependent robust dissipative problem of uncertain neural networks with additive time-varying delays, this paper studied a generalized activation functions. Different from previous studies, it considered some sufficient information on neuron activation function and additive time-varying delays. It constructed a suitable LKF with some new integral terms, and estimated their derivative by using newly developed single integral inequality that included Jensen's inequality and Wirtinger-based integral inequality as a special case. It established a new delay-dependent less conservative global asymptotic stability and dissipative criteria in the form of linear matrix inequalities ( LMI ) technique. Finally, this paper verified the validity of the proposed theory by calculation and numerical simulation. [ABSTRACT FROM AUTHOR]